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作 者:吉雪强 刘慧敏 张跃松[1] JI Xueqiang;LIU Huimin;ZHANG Yuesong(School of Public Administration and Policy,Renmin University of China,Bejing 100872,China;School of Finance,Taxation and Public Administration,Jiangxi University of Finance and Economics,Nanchang 330013,Jiangxi,China)
机构地区:[1]中国人民大学公共管理学院,中国北京100872 [2]江西财经大学财税与公共管理学院,中国江西南昌330013
出 处:《经济地理》2023年第2期190-200,共11页Economic Geography
基 金:国家社会科学基金项目(17BRK023)。
摘 要:土地利用碳排放空间关联网络研究对于区域土地利用协同减排具有重要意义。基于三次全国国土调查数据测算省际土地利用碳排放,利用社会网络分析法探讨土地利用碳排放空间关联网络结构特征及演化过程,应用QAP回归分析法对土地利用碳排放空间关联网络驱动因素进行动态分析。研究发现:(1)土地利用碳排放的空间关联关系具有空间网络特征,研究过程中,土地利用碳排放空间关联网络关联性和稳定性整体增强。(2)东部沿海省市在空间关联网络中长期处于核心位置,西北与东北地区长期处于边缘位置,随着经济发展,中部与西部地区在空间关联网络中的作用逐渐加强。(3)中西部地区及东北地区所在板块是空间关联网络中要素的主要溢出方,东部沿海省市所在板块是要素的主要受益方。(4)地理空间邻近性、经济发展水平、环境规制、创新水平、能源消费结构、林地比重、产业结构对土地利用碳排放空间关联网络的形成具有一定影响。建议土地利用减排政策设计时重视土地利用碳排放空间关联网络及其特征的可能影响。The study of the spatial correlation network of land use carbon emission is of great significance for regional land use collaborative emission reduction.Based on the data of three national land survey,this study calculates the interprovincial land use carbon emissions,and discusses the spatial correlation network structure and evolution process of land use carbon emissions by the methods of social network analysis.It uses the QAP regression analysis to dynamically analyze the driving factors of the spatial correlation network of land use carbon emissions.It’s found that:1)The spatial association of land use carbon emissions had the characteristics of a spatial network,the spatial correlation and stability of the spatial association network of land use carbon emissions were enhanced as a whole,and the internal hierarchical structure as a whole showed a loose trend.2)The eastern coastal provinces and cities were in the core position for a long time in the spatial correlation network,and the northwest and northeast regions were in a marginal position for a long time.With the development of economy,the role of the central and western regions in the spatial correlation network had gradually strengthened.3)The plates in the central and western regions and the northeastern region were the main spillover parties of the elements in the spatial association network,and the plates in the eastern and southeast coastal areas were the main beneficiaries of the elements.4)The geographical spatial proximity,the level of economic development,the environmental regulation,the level of innovation,the energy consumption structure,the proportion of woodland,and the industrial structure have a significant impact on the formation of the spatial correlation network of land use carbon emissions.It is suggested that attention should be paid to the spatial correlation network of land use carbon emission and its characteristics when designing land use emission reduction policies.
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